Analytics Vidhya

APRIL 24, 2024

Generative AI models hold promise for transforming healthcare, but their application raises critical questions about accuracy and reliability. Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns. It provides a standardized platform to evaluate and compare models’ performance in various medical tasks. Let’s find out how this helps improve healthcare and […] The post Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcar

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IBM Journey to AI blog

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

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Analytics Vidhya

APRIL 24, 2024

Ray-Ban Meta Smart Glasses have garnered attention for their sleek design and multifunctionality. The latest addition of multimodal AI enhances the utility of these AI glasses, offering users a seamless blend of technology and fashion. Let’s delve into the details of this innovative update and its implications. Also Read: Here’s the Latest AI-powered VR Glasses […] The post Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade appeared first on Analytics Vidhya.

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AI News

APRIL 24, 2024

Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available. The innovative training approach developed by Microsoft researchers has allowed the Phi-3 models to outperform larger models on language, coding, and math benchmarks. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the

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Big Data Large Language Models Generative AI AI Modeling 286

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

APRIL 24, 2024

Introduction The world of AI-powered image generation is growing quickly, and Adobe Firefly Image 3 is at the forefront. Adobe Firefly Image 3 enables you to generate high-resolution, actual images or visual diagrams by giving its explanation in a text message. This software works well for you whether you are a developer, artist, or marketer, […] The post How to Use Adobe Firefly Image 3?

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AI AI AI Tools Deep Learning 313

Analytics Vidhya

APRIL 24, 2024

Introduction In the world of data analytics, where every piece of information holds untapped potential, the ability to transform raw data into actionable insights is a game-changer. Tableau, a dynamic and versatile data visualization tool, has revolutionized how organizations harness the power of their data. In this article, we’ll explore a free course for learning […] The post Free Course on Tableau For Beginners appeared first on Analytics Vidhya.

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NVIDIA

APRIL 24, 2024

To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure.

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AI AI 144

Analytics Vidhya

APRIL 24, 2024

In today’s dynamic business landscape, maximizing profitability necessitates a strategic approach to cost reduction. Traditional methods often involve working around the existing infrastructure, but the challenge doesn’t just end there. Achieving a truly lean business model requires a deeper dive into efficiency. This is where AI can help.

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Marktechpost

APRIL 24, 2024

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. These systems are typically confined to predefined workflows, limiting their ability to handle tasks that deviate from standard procedures or require immediate adaptation.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Analytics Vidhya

APRIL 24, 2024

Introduction Have you ever thought how your computer can read text from images? It is all thanks to something called Optical Character Recognition, or OCR. In Python, there are some cool libraries that help your computer understand text in pictures. From Google’s powerful Tesseract to EasyOCR’s fancy deep learning, these libraries can do some pretty […] The post Top 8 OCR Libraries in Python to Extract Text from Image appeared first on Analytics Vidhya.

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databricks

APRIL 24, 2024

Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.

Python 130

Python 130

Analytics Vidhya

APRIL 24, 2024

Introduction Ever felt overwhelmed by the jargon of deep learning? You’re not alone! This field is packed with powerful concepts, but remembering every term can be challenging. This glossary is here to bridge the gap. further in this article, we will explore 100 essential deep learning terms, making complex ideas approachable and empowering you to […] The post 100 Deep Learning Terms Explained appeared first on Analytics Vidhya.

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Marktechpost

APRIL 24, 2024

MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness and identifying biases. Current methods rely on manual effort, like exploratory data analysis, hypothesis formulation, and controlled experimentation, making the process slow and expensive.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

APRIL 24, 2024

Introduction In the world of machine learning, the trend toward smaller, more efficient models has grown significantly. These compact models are crucial for developers and researchers who need to run applications locally on devices with limited resources. Not only do they require less computational power, but they also allow for rapid deployment and agile testing. […] The post 5 Compact Hugging Face Models for Running Locally appeared first on Analytics Vidhya.

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Marktechpost

APRIL 24, 2024

LLMs have grown remarkably over the past few years, largely driven by global initiatives to scale up both model sizes and datasets. From just one billion parameters five years ago, exemplified by GPT-2 with 1.5 billion parameters, LLMs now boast trillion-parameter architectures. This push stems from the perceived benefits of training larger models, as indicated by scaling laws.

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Analytics Vidhya

APRIL 24, 2024

Introduction The world of AI just got a whole lot more exciting with the release of Llama3! This powerful open-source language model, created by Meta, is shaking things up. Llama3, available in 8B and 70B pretrained and instruction-tuned variants, offers a wide range of applications. In this guide, we will explore the capabilities of Llama3 […] The post How to Access Llama3 with Flask?

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AWS Machine Learning Blog

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. In the post A generative AI-powered solution on Amazon SageMaker to help Amazon EU Design and Construction , we presented a question answering bot solution using a Retrieval Augmented Generation (RAG) pipeline with a fine-tune

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Analytics Vidhya

APRIL 24, 2024

Introduction AI engineering is at the cutting edge of technological advancement, reshaping sectors from healthcare to finance through its ability to address complex challenges and enhance efficiency. AI engineers are essential, merging expertise in data science, machine learning, and software development to create systems capable of autonomous thought, learning, and decision-making.

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NVIDIA

APRIL 24, 2024

To address the shift to electric vehicles, increased semiconductor demand, manufacturing onshoring, and ambitions for greater sustainability, manufacturers are investing in new factory developments and re-engineering their existing facilities. These projects often run over budget and schedule, due to complex and manual planning processes, legacy technology infrastructure, and disconnected tools, data and teams.

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Robotics Automation Software Development Generative AI 124

Analytics Vidhya

APRIL 24, 2024

The post Prompt Battle appeared first on Analytics Vidhya.

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AI AI 332

AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stabilit

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Marktechpost

APRIL 24, 2024

The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. As black-box models become more prevalent, stakeholders in AI demand explanations to justify decisions, especially in critical contexts like medicine and autonomous vehicles.

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NVIDIA

APRIL 24, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. AI continues to raise the bar for PC gaming. DLSS 3.5 with Ray Reconstruction creates higher quality ray-traced images for intensive ray-traced games and apps.

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Marktechpost

APRIL 24, 2024

Deep reinforcement learning (Deep RL) combines reinforcement learning (RL) and deep learning. It has shown remarkable success in complex tasks previously unimaginable for a machine. Deep RL has achieved human-level or superhuman performance for many two-player or multi-player games. Such achievements with popular games are significant because they show the potential of deep RL in various complex and diverse tasks based on high-dimensional inputs.

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Artificial Lawyer

APRIL 24, 2024

ayora is on a mission to address a ‘$36bn value gap in the Big Law industry by empowering lawyers as P&L owners’, in effect collecting and leveraging legal work data using AI to help drive prof…

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AI AI 115

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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

Marktechpost

APRIL 24, 2024

Power BI is a business intelligence (BI) tool developed by Microsoft for creating dashboards and reports. It supports integrations with a wide range of data sources and allows users to perform complex transformations using Power Query and create compelling visualizations with the help of DAX measures. As such, thousands of organizations use this tool as a BI tool.

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Towards AI

APRIL 24, 2024

Last Updated on April 25, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Third Week of April 2024.

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Marktechpost

APRIL 24, 2024

Large Language Models (LLMs) have steered in a period of extraordinary growth for Artificial Intelligence (AI) technology. To address issues like conversation hallucination, these models are being used increasingly in various settings where unstructured multimedia data is converted into embedding vectors. Vector Data Management Systems (VDMSs) are specifically designed to manage these vectors effectively.

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